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Which Drivers Benefit Most From Clean Air (And Why)
Race Analysis

Which Drivers Benefit Most From Clean Air (And Why)

Clean air is one of the easiest ideas in F1 to describe—and one of the hardest to model responsibly. Everyone understands that a car is faster when it isn’t tucked behind another car, but the size of that benefit depends on the track, the car’s aero sensitivity, tyre compounds, temperatures, and the driver’s style. This is exactly why a calculator mindset matters: if you want to use simulations to make smarter calls (race strategy, championship scenarios, or “who benefits most from pole?”), you need to translate “clean air” into assumptions you can vary, not a single magical number.m

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How Much Strategy Can Actually Save a Slower Car
Race Analysis

How Much Strategy Can Actually Save a Slower Car

Strategy in F1 gets talked about like a magic lever: pull the right pit window, and suddenly a slower car becomes faster. In reality, strategy is mostly about when you spend time (and where), not whether you spend it at all. A slower car can absolutely beat a faster one on certain days—but the “how” matters, because it determines whether you’re modeling something repeatable or just hoping for chaos.

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Safety Cars in Strategy Simulation: What Changes Instantly
Race Analysis

Safety Cars in Strategy Simulation: What Changes Instantly

F1 strategy is often explained as tyre choice plus pace. In practice, it’s tyre choice plus timing, and nothing changes timing faster than a Safety Car. The moment race speed drops and gaps compress, the “cost” of a pit stop can fall sharply, and the value of track position can spike. That’s why the best way to think about Safety Cars in a calculator or simulator isn’t “who benefits?” but “what variables just changed, instantly?” This post breaks down those variables in a model-friendly way, so you can run scenarios in the Tyre Strategy Simulator and interpret the outputs without treating them like predictions.

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